"MCP NetAssist and Edge Echo" matching MCP servers:

A stateless Model Context Protocol server that implements a simple echo functionality with resource, tool, and prompt components, enabling LLMs to echo back messages through standardized MCP interactions.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Raisers Edge NXT (beta): https://www.cdata.com/download/download.aspx?sku=JZZK-V&type=beta

A Model Context Protocol server that enables Claude and other LLMs to perform database operations and invoke Edge Functions within Supabase through natural language.

A local MCP memory server for edge devices that uses graph-backed retrieval to connect related facts across passages, enabling high-precision, offline capable search and memory for agents.

A Knowledge Graph MCP server optimized for LLM context efficiency through compact JSON and SQLite persistence. It enables full graph management including node/edge CRUD operations, full-text search, and subgraph traversal.

A Model Context Protocol server that provides tools for fetching xkcd comics and resources for dynamic data retrieval, WebSocket echo functionality, and static JSON data testing.

A Compact Knowledge Graph MCP server providing pre-structured domain knowledge as a routing layer for agent stacks, enabling efficient structural queries (e.g., prerequisites, dependency chains) without hallucinations.

Enables searching and reading AVEVA Customer Support Portal knowledge base articles, including tech notes, known issues, and error-message diagnostics, to ground AI answers in support content not found in public documentation.

Provides MCP tools for web scraping, including smart fetching, proxy rotation, and browser rendering to bypass anti-bot challenges and render JavaScript-heavy sites.

Enables Claude and other MCP-compatible agents to process documents, extract structured data, detect PII, and export LLM-ready datasets through natural language tool calls.

Enables any MCP-aware LLM host to filter noisy text down to query-relevant sentences via a topic-conditioned relevancy classifier, reducing token spend before the model processes the full input.

Enables clients to interact with PipesHub data and functionality through MCP, including chat, search, record retrieval, directory browsing, sources, and agents.

Enables adding a cite-or-refuse answer box to your docs from your agent.

Provides AI assistants with real-time web search, reasoning, and research capabilities through Perplexity's Agent API and Search API, enabling tools for search, conversational Q&A, deep research, and advanced reasoning.

SEC EDGAR filing MCP for equity research agents: search 10-K/10-Q/8-K with CompanyFacts metrics, preview a free sample, and purchase full structured JSON via x402 USDC on Polygon. Public endpoint on xpay.tools.

Enables querying Brazilian PCDT clinical protocols from Conitec and generating concise, context-specific treatment summaries using a local LLM, with verified literal citations and links to official PDFs.

Indexes your project's markdown documentation and exposes it to AI agents via local hybrid search (lexical + semantic) with progressive disclosure tools.

MCP server for the full Pāli Tipiṭaka — ~444,000 segments at parity with SuttaCentral (Sutta + Vinaya + Abhidhamma). Hybrid search, full-sutta fetch with cross-references, segment-aligned translation comparison, and Pāli word lookup. Offered as Dhamma Dāna.

A zero-cost, fully local MCP server that grounds AI assistants in verified web text, reducing hallucinations by ~80% by forcing answers only from fetched sources.

Provides clean, bounded web content to AI by filtering HTML noise and optionally summarizing, preventing context window overflow.